Name Identification of People in News Video by Face Matching

Recently, there is a strong demand for making use of large amounts of video data efficiently and effectively. When considering broadcast news video, people who appear in it is one of the major interests to a viewer. This is the common motivation of recent works that focus on extracting names of people that appear in news video footages. However, these works suffer a serious problem; a person is often referred to by various names depending on situations and along time. In this paper, we propose and evaluate a method that handles this problem by identifying faces together with names. Faces are extracted by face detection technology and annotated with person name candidates extracted from closedcaption text. Then, all face-name pairs are compared by face identification technology and text matching of names. As a result, different names of a same person are identified.